Triple
T1694583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coyhaique |
E36627
|
entity |
| Predicate | distanceToCapitalCountry |
P10889
|
FINISHED |
| Object | remote from Santiago |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: remote from Santiago | Statement: [Coyhaique, distanceToCapitalCountry, remote from Santiago]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToCapitalCountry Context triple: [Coyhaique, distanceToCapitalCountry, remote from Santiago]
-
A.
distanceFromCapital
chosen
Indicates the measured distance between a given location and the capital city of its corresponding region or country.
-
B.
homeCountryCapital
Indicates that a given city is the capital of a specified country that serves as an entity’s home or origin.
-
C.
countryClosestTo
Indicates the relationship where one country is geographically nearer to a given reference point or entity than any other country.
-
D.
countryCapitalLocatedOn
Indicates that the capital city of a country is situated on or directly adjacent to a specified geographic feature (such as a river, coast, or lake).
-
E.
capitalOfFrom
Indicates that a city serves or served as the capital of a specified political entity during a particular time or from a particular source context.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a886163dec8190859c514232a37a05 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aaf169da888190b3aa334752f1952b |
completed | March 6, 2026, 3:23 p.m. |
| PD | Predicate disambiguation | batch_69aa61b8ce348190b46154af0b041ff0 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:29 p.m.